Name
Abstract | ||
|---|---|---|
The success of a Free/Libre/Open Source Software (FLOSS) project has been evaluated in the past through the number of commits made to its configuration management system, number of developers and number of users. Most studies, based on a popular FLOSS repository (SourceForge), have concluded that the vast majority of projects are failures. This study's empirical results confirm and expand conclusions from an earlier and more limited work. Not only do projects from different repositories display different process and product characteristics, but a more general pattern can be observed. Projects may be considered as early inceptors in highly visible repositories, or as established projects within desktop-wide projects, or finally as structured parts of FLOSS distributions. These three possibilities are formalized into a framework of transitions between repositories. The framework developed here provides a wider context in which results from FLOSS repository mining can be more effectively presented. Researchers can draw different conclusions based on the overall characteristics studied about an Open Source software project's potential for success, depending on the repository that they mine. These results also provide guidance to OSS developers when choosing where to host their project and how to distribute it to maximize its evolutionary success. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.jss.2008.10.026 | Journal of Systems and Software |
Keywords | Field | DocType |
floss distribution,different conclusion,exogenous driver,software repositories,evolutionary stage,open source software,open source software project,desktop-wide project,floss project,software evolution,floss repository mining,evolutionary success,different process,visible repository,popular floss repository,different repository,configuration management | Systems engineering,Software engineering,Computer science,Repository mining,Software project management,Configuration management,Software evolution,Open source software,Product characteristics | Journal |
Volume | Issue | ISSN |
82 | 5 | The Journal of Systems & Software |
Citations | PageRank | References |
13 | 0.62 | 24 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karl Beecher | 1 | 58 | 3.52 |
| Andrea Capiluppi | 2 | 488 | 42.51 |
| Cornelia Boldyreff | 3 | 464 | 56.05 |